{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "0a9cb373-1909-40ed-94f3-b61bab5c0e43",
   "metadata": {
    "tags": []
   },
   "source": [
    "# La Palma 2021 Erruption data gathering and visualization"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82e5f39c-4497-4aa1-9aca-3b248f80dbd5",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Importing libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "bdc795c2-8fd1-411f-ae10-5995ff8d259a",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "from datetime import datetime as dt\n",
    "from datetime import timedelta\n",
    "\n",
    "import pandas as pd\n",
    "import geopandas\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.dates as mdates\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import contextily as cx\n",
    "import matplotlib.ticker as mticker\n",
    "\n",
    "from SeismicPortal.dl_quakes import CANARY_BOX, SeismicPortal\n",
    "\n",
    "sns.set_theme()\n",
    "plt.rcParams['figure.figsize'] = [30, 15]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "20816f2c-212e-43e6-9f75-eebe9b9eb9ea",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Downloading latest eartquake data for the Canary Islands"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0e635802-b202-4421-ac9f-0fedab3e97ca",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1737 earthquakes downloaded.\n"
     ]
    }
   ],
   "source": [
    "sp = SeismicPortal()\n",
    "# results = sp.download_earthquakes(start_time=dt.now() - timedelta(days=14), **CANARY_BOX)\n",
    "results = sp.download_earthquakes(start_time=dt.now() - timedelta(days=60), **CANARY_BOX)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "22907400-6fe9-4821-a5e2-07c4b0076de4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lastupdate</th>\n",
       "      <th>magtype</th>\n",
       "      <th>evtype</th>\n",
       "      <th>lon</th>\n",
       "      <th>auth</th>\n",
       "      <th>lat</th>\n",
       "      <th>depth</th>\n",
       "      <th>unid</th>\n",
       "      <th>mag</th>\n",
       "      <th>time</th>\n",
       "      <th>source_id</th>\n",
       "      <th>source_catalog</th>\n",
       "      <th>flynn_region</th>\n",
       "      <th>date</th>\n",
       "      <th>mag_range</th>\n",
       "      <th>mag_mean</th>\n",
       "      <th>depth_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-10-09 12:56:00</td>\n",
       "      <td>ml</td>\n",
       "      <td>ke</td>\n",
       "      <td>-17.84</td>\n",
       "      <td>MDD</td>\n",
       "      <td>28.55</td>\n",
       "      <td>14.0</td>\n",
       "      <td>20211009_0000175</td>\n",
       "      <td>2.8</td>\n",
       "      <td>2021-10-09 12:49:28.300</td>\n",
       "      <td>1046131</td>\n",
       "      <td>EMSC-RTS</td>\n",
       "      <td>CANARY ISLANDS, SPAIN REGION</td>\n",
       "      <td>2021-10-09</td>\n",
       "      <td>(2, 3]</td>\n",
       "      <td>2.754</td>\n",
       "      <td>13.761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-10-09 12:21:00</td>\n",
       "      <td>ml</td>\n",
       "      <td>ke</td>\n",
       "      <td>-17.85</td>\n",
       "      <td>MDD</td>\n",
       "      <td>28.57</td>\n",
       "      <td>14.0</td>\n",
       "      <td>20211009_0000167</td>\n",
       "      <td>2.8</td>\n",
       "      <td>2021-10-09 12:17:10.900</td>\n",
       "      <td>1046122</td>\n",
       "      <td>EMSC-RTS</td>\n",
       "      <td>CANARY ISLANDS, SPAIN REGION</td>\n",
       "      <td>2021-10-09</td>\n",
       "      <td>(2, 3]</td>\n",
       "      <td>2.754</td>\n",
       "      <td>13.761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-10-09 13:03:00</td>\n",
       "      <td>ml</td>\n",
       "      <td>ke</td>\n",
       "      <td>-17.83</td>\n",
       "      <td>MDD</td>\n",
       "      <td>28.46</td>\n",
       "      <td>18.0</td>\n",
       "      <td>20211009_0000176</td>\n",
       "      <td>2.4</td>\n",
       "      <td>2021-10-09 12:06:57.100</td>\n",
       "      <td>1046132</td>\n",
       "      <td>EMSC-RTS</td>\n",
       "      <td>CANARY ISLANDS, SPAIN REGION</td>\n",
       "      <td>2021-10-09</td>\n",
       "      <td>(2, 3]</td>\n",
       "      <td>2.754</td>\n",
       "      <td>13.761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-10-09 12:00:00</td>\n",
       "      <td>ml</td>\n",
       "      <td>ke</td>\n",
       "      <td>-17.86</td>\n",
       "      <td>MDD</td>\n",
       "      <td>28.58</td>\n",
       "      <td>10.0</td>\n",
       "      <td>20211009_0000163</td>\n",
       "      <td>2.4</td>\n",
       "      <td>2021-10-09 11:53:09.600</td>\n",
       "      <td>1046118</td>\n",
       "      <td>EMSC-RTS</td>\n",
       "      <td>CANARY ISLANDS, SPAIN REGION</td>\n",
       "      <td>2021-10-09</td>\n",
       "      <td>(2, 3]</td>\n",
       "      <td>2.754</td>\n",
       "      <td>13.761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-10-09 11:33:00</td>\n",
       "      <td>ml</td>\n",
       "      <td>ke</td>\n",
       "      <td>-17.84</td>\n",
       "      <td>MDD</td>\n",
       "      <td>28.56</td>\n",
       "      <td>11.0</td>\n",
       "      <td>20211009_0000158</td>\n",
       "      <td>3.4</td>\n",
       "      <td>2021-10-09 11:25:53.700</td>\n",
       "      <td>1046065</td>\n",
       "      <td>EMSC-RTS</td>\n",
       "      <td>CANARY ISLANDS, SPAIN REGION</td>\n",
       "      <td>2021-10-09</td>\n",
       "      <td>(3, 4]</td>\n",
       "      <td>2.754</td>\n",
       "      <td>13.761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1732</th>\n",
       "      <td>2021-08-12 05:41:00</td>\n",
       "      <td>ml</td>\n",
       "      <td>ke</td>\n",
       "      <td>-16.25</td>\n",
       "      <td>MDD</td>\n",
       "      <td>28.16</td>\n",
       "      <td>22.0</td>\n",
       "      <td>20210812_0000062</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2021-08-12 05:18:56.700</td>\n",
       "      <td>1022382</td>\n",
       "      <td>EMSC-RTS</td>\n",
       "      <td>CANARY ISLANDS, SPAIN REGION</td>\n",
       "      <td>2021-08-12</td>\n",
       "      <td>(0, 2]</td>\n",
       "      <td>1.650</td>\n",
       "      <td>15.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1733</th>\n",
       "      <td>2021-08-11 17:44:00</td>\n",
       "      <td>ml</td>\n",
       "      <td>ke</td>\n",
       "      <td>-16.26</td>\n",
       "      <td>MDD</td>\n",
       "      <td>28.13</td>\n",
       "      <td>35.0</td>\n",
       "      <td>20210811_0000155</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2021-08-11 17:37:33.100</td>\n",
       "      <td>1022199</td>\n",
       "      <td>EMSC-RTS</td>\n",
       "      <td>CANARY ISLANDS, SPAIN REGION</td>\n",
       "      <td>2021-08-11</td>\n",
       "      <td>(2, 3]</td>\n",
       "      <td>1.925</td>\n",
       "      <td>21.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1734</th>\n",
       "      <td>2021-08-11 07:05:00</td>\n",
       "      <td>ml</td>\n",
       "      <td>ke</td>\n",
       "      <td>-17.85</td>\n",
       "      <td>MDD</td>\n",
       "      <td>29.53</td>\n",
       "      <td>10.0</td>\n",
       "      <td>20210811_0000060</td>\n",
       "      <td>2.6</td>\n",
       "      <td>2021-08-11 06:42:25.400</td>\n",
       "      <td>1022071</td>\n",
       "      <td>EMSC-RTS</td>\n",
       "      <td>CANARY ISLANDS, SPAIN REGION</td>\n",
       "      <td>2021-08-11</td>\n",
       "      <td>(2, 3]</td>\n",
       "      <td>1.925</td>\n",
       "      <td>21.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1735</th>\n",
       "      <td>2021-08-11 07:13:00</td>\n",
       "      <td>ml</td>\n",
       "      <td>ke</td>\n",
       "      <td>-16.30</td>\n",
       "      <td>MDD</td>\n",
       "      <td>27.98</td>\n",
       "      <td>24.0</td>\n",
       "      <td>20210811_0000062</td>\n",
       "      <td>1.5</td>\n",
       "      <td>2021-08-11 06:25:15.700</td>\n",
       "      <td>1022075</td>\n",
       "      <td>EMSC-RTS</td>\n",
       "      <td>CANARY ISLANDS, SPAIN REGION</td>\n",
       "      <td>2021-08-11</td>\n",
       "      <td>(0, 2]</td>\n",
       "      <td>1.925</td>\n",
       "      <td>21.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1736</th>\n",
       "      <td>2021-08-11 02:50:00</td>\n",
       "      <td>ml</td>\n",
       "      <td>ke</td>\n",
       "      <td>-16.20</td>\n",
       "      <td>MDD</td>\n",
       "      <td>28.15</td>\n",
       "      <td>15.0</td>\n",
       "      <td>20210811_0000017</td>\n",
       "      <td>1.5</td>\n",
       "      <td>2021-08-11 02:34:55.400</td>\n",
       "      <td>1022018</td>\n",
       "      <td>EMSC-RTS</td>\n",
       "      <td>CANARY ISLANDS, SPAIN REGION</td>\n",
       "      <td>2021-08-11</td>\n",
       "      <td>(0, 2]</td>\n",
       "      <td>1.925</td>\n",
       "      <td>21.000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1737 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              lastupdate magtype evtype    lon auth    lat  depth  \\\n",
       "0    2021-10-09 12:56:00      ml     ke -17.84  MDD  28.55   14.0   \n",
       "1    2021-10-09 12:21:00      ml     ke -17.85  MDD  28.57   14.0   \n",
       "2    2021-10-09 13:03:00      ml     ke -17.83  MDD  28.46   18.0   \n",
       "3    2021-10-09 12:00:00      ml     ke -17.86  MDD  28.58   10.0   \n",
       "4    2021-10-09 11:33:00      ml     ke -17.84  MDD  28.56   11.0   \n",
       "...                  ...     ...    ...    ...  ...    ...    ...   \n",
       "1732 2021-08-12 05:41:00      ml     ke -16.25  MDD  28.16   22.0   \n",
       "1733 2021-08-11 17:44:00      ml     ke -16.26  MDD  28.13   35.0   \n",
       "1734 2021-08-11 07:05:00      ml     ke -17.85  MDD  29.53   10.0   \n",
       "1735 2021-08-11 07:13:00      ml     ke -16.30  MDD  27.98   24.0   \n",
       "1736 2021-08-11 02:50:00      ml     ke -16.20  MDD  28.15   15.0   \n",
       "\n",
       "                  unid  mag                    time source_id source_catalog  \\\n",
       "0     20211009_0000175  2.8 2021-10-09 12:49:28.300   1046131       EMSC-RTS   \n",
       "1     20211009_0000167  2.8 2021-10-09 12:17:10.900   1046122       EMSC-RTS   \n",
       "2     20211009_0000176  2.4 2021-10-09 12:06:57.100   1046132       EMSC-RTS   \n",
       "3     20211009_0000163  2.4 2021-10-09 11:53:09.600   1046118       EMSC-RTS   \n",
       "4     20211009_0000158  3.4 2021-10-09 11:25:53.700   1046065       EMSC-RTS   \n",
       "...                ...  ...                     ...       ...            ...   \n",
       "1732  20210812_0000062  1.8 2021-08-12 05:18:56.700   1022382       EMSC-RTS   \n",
       "1733  20210811_0000155  2.1 2021-08-11 17:37:33.100   1022199       EMSC-RTS   \n",
       "1734  20210811_0000060  2.6 2021-08-11 06:42:25.400   1022071       EMSC-RTS   \n",
       "1735  20210811_0000062  1.5 2021-08-11 06:25:15.700   1022075       EMSC-RTS   \n",
       "1736  20210811_0000017  1.5 2021-08-11 02:34:55.400   1022018       EMSC-RTS   \n",
       "\n",
       "                      flynn_region        date mag_range  mag_mean  depth_mean  \n",
       "0     CANARY ISLANDS, SPAIN REGION  2021-10-09    (2, 3]     2.754      13.761  \n",
       "1     CANARY ISLANDS, SPAIN REGION  2021-10-09    (2, 3]     2.754      13.761  \n",
       "2     CANARY ISLANDS, SPAIN REGION  2021-10-09    (2, 3]     2.754      13.761  \n",
       "3     CANARY ISLANDS, SPAIN REGION  2021-10-09    (2, 3]     2.754      13.761  \n",
       "4     CANARY ISLANDS, SPAIN REGION  2021-10-09    (3, 4]     2.754      13.761  \n",
       "...                            ...         ...       ...       ...         ...  \n",
       "1732  CANARY ISLANDS, SPAIN REGION  2021-08-12    (0, 2]     1.650      15.000  \n",
       "1733  CANARY ISLANDS, SPAIN REGION  2021-08-11    (2, 3]     1.925      21.000  \n",
       "1734  CANARY ISLANDS, SPAIN REGION  2021-08-11    (2, 3]     1.925      21.000  \n",
       "1735  CANARY ISLANDS, SPAIN REGION  2021-08-11    (0, 2]     1.925      21.000  \n",
       "1736  CANARY ISLANDS, SPAIN REGION  2021-08-11    (0, 2]     1.925      21.000  \n",
       "\n",
       "[1737 rows x 17 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "master_df = pd.DataFrame([q.get(\"properties\") for q in results])\n",
    "\n",
    "# Tranform data\n",
    "\n",
    "# Remove timezone info to remove numpy deprecation warning\n",
    "master_df[\"time\"] = master_df[\"time\"].apply(lambda x: x.strip(\"Z\"))\n",
    "master_df[\"lastupdate\"] = master_df[\"lastupdate\"].apply(lambda x: x.strip(\"Z\"))\n",
    "\n",
    "master_df[\"lastupdate\"] = pd.to_datetime(master_df[\"lastupdate\"])\n",
    "master_df[\"time\"] = pd.to_datetime(master_df[\"time\"])\n",
    "master_df[\"date\"] = master_df[\"time\"].dt.date\n",
    "\n",
    "# Enhance data\n",
    "\n",
    "# Create magnitude bins\n",
    "\n",
    "m_bins = [\n",
    "    pd.Interval(left=0, right=2),\n",
    "    pd.Interval(left=2, right=3),\n",
    "    pd.Interval(left=3, right=4),\n",
    "    pd.Interval(left=4, right=5),\n",
    "    pd.Interval(left=5, right=float(\"inf\"))\n",
    "]\n",
    "\n",
    "# m_bins_small = [\n",
    "#     pd.Interval(left=-float(\"inf\"), right=3),\n",
    "#     pd.Interval(left=3, right=float(\"inf\")),\n",
    "# ]\n",
    "\n",
    "magnitude_ranges = []\n",
    "for index, row in master_df.iterrows():\n",
    "    for r in m_bins:\n",
    "        if row[\"mag\"] in r:\n",
    "            magnitude_ranges.append(r)\n",
    "\n",
    "master_df['mag_range'] = magnitude_ranges\n",
    "\n",
    "# Auto create bins\n",
    "# master_df['mag_range'] = pd.cut(master_df['mag'], bins = 5)\n",
    "\n",
    "# Add mean magnitude and depth per day\n",
    "\n",
    "master_df = pd.merge(master_df, master_df.groupby(\"date\").mean().round(decimals=3)[[\"mag\", \"depth\"]], on=\"date\", suffixes=(\"\", \"_mean\"), how=\"right\")\n",
    "\n",
    "master_df = master_df.sort_values(\"time\", ascending=False, ignore_index=True)\n",
    "master_df\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "67e7e7af-27f6-4009-9888-a28215985077",
   "metadata": {},
   "source": [
    "## Visualization of data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3d640e16-10d0-4857-a50e-b8b825046861",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2160x1080 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = master_df[master_df[\"time\"] >= dt(2021, 9, 1)]\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.tick_params(axis='x', rotation=45, labelsize=9, direction=\"in\")\n",
    "\n",
    "ax.set_title(f\"Earthquakes over time by magnitude range (last {df.iloc[0].date - df.iloc[-1].date})\")\n",
    "sns.countplot(data=df.sort_values(\"date\"), x=\"date\", palette=\"flare\", hue=\"mag_range\", hue_order=df[\"mag_range\"].sort_values().unique(), dodge=True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "28d3241b-20d6-4be7-b0e0-023e1b3f53b8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2160x1080 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = master_df[master_df[\"time\"] >= dt(2021, 9, 28)]\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.set_title(f\"Earthquakes over time by depth (last {df.iloc[0].date - df.iloc[-1].date})\")\n",
    "ax.tick_params(axis='x', rotation=45, labelsize=9, direction=\"in\")\n",
    "ax.yaxis.set_major_formatter(mticker.FormatStrFormatter('%.1f km'))\n",
    "ax.invert_yaxis()\n",
    "\n",
    "\n",
    "sns.scatterplot(data=df, x=\"time\", y=\"depth\", hue=\"mag\", size=\"mag\", sizes=(10, 200), palette=\"seismic\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "722e0202-adf9-401d-9ac3-77f7ce1fdfe4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2160x1080 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = master_df[master_df[\"date\"] < master_df.iloc[0].date]\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.tick_params(axis='x', rotation=45, labelsize=9, direction=\"in\")\n",
    "\n",
    "ax.set_title(f\"Earthquakes over time (last {df.iloc[0].date - df.iloc[-1].date})\")\n",
    "\n",
    "sns.lineplot(data=df.groupby(\"date\").size().reset_index(), x=\"date\", y=df.groupby(\"date\").size().reset_index()[0]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7bad534b-9636-4342-b9b6-7467a1842e7b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x1080 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = master_df[master_df[\"time\"] >= dt.now() - timedelta(days=45)]\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.tick_params(axis='x', rotation=45, labelsize=9, direction=\"in\")\n",
    "ax.set_title(f\"Earthquakes over time with daily mean magnitude (last {df.iloc[0].date - df.iloc[-1].date})\")\n",
    "\n",
    "sns.countplot(data=df.sort_values(\"date\"), x=\"date\", palette=\"flare\", hue=\"mag_mean\", dodge=False);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8d93d7d8-805d-411e-8d36-6eb2fdb52dc9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This notebook was last updated: 2021-10-09 13:05:15.977947 UTC\n"
     ]
    }
   ],
   "source": [
    "print(f\"This notebook was last updated: {dt.utcnow()} UTC\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5119d725-5b4f-4826-a8ff-5578192516ce",
   "metadata": {},
   "source": [
    "## Donation\n",
    "\n",
    "If you find this  useful please consider donating to one of my crypto account. Thank you :)\n",
    "\n",
    "[![Donate](https://img.shields.io/badge/Donate-BTC-green.svg?style=plastic&logo=bitcoin)](https://raw.githubusercontent.com/Anonymous5726221/lapalma_data/master/Donate/BTC_Bitcoin)\n",
    "[![Donate](https://img.shields.io/badge/Donate-BNB-green.svg?style=plastic&logo=binance)](https://raw.githubusercontent.com/Anonymous5726221/lapalma_data/master/Donate/BNB_BinanceSmartChain)\n",
    "[![Donate](https://img.shields.io/badge/Donate-FTM-green.svg?style=plastic&logo=data:image/svg%2bxml;base64,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)](https://raw.githubusercontent.com/Anonymous5726221/lapalma_data/master/Donate/FTM_Fantom)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.6"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {},
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}